Augmentation strategies for plant disease classification
This study explores the effectiveness of various data augmentation strategies for enhancing plant disease classification using the LeafGAN model. We propose a novel approach that integrates leaf region and disease symptom masking to improve the quality of synthetic images and, consequently, the perf...
Saved in:
| Main Author: | |
|---|---|
| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2025
|
| Subjects: | |
| Online Access: | http://eprints.utar.edu.my/7178/1/fyp_CN_2025_CWJ.pdf http://eprints.utar.edu.my/7178/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|